This commit makes the toolchain easier to use in two folds: 1. When compiling C/C++ source files, no need to add "-fPIC -pie" flags manually; 2. When running executables generated by the Occlum toolchain on Linux, no need to set the `LD_LIBRARY_PATH` manually. |
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| .. | ||
| hello_bazel | ||
| hello_c | ||
| hello_cc | ||
| https_server | ||
| tensorflow_lite | ||
| README.md | ||
Demos
This directory contains sample projects that demonstrate how Occlum can be used to build and run user applications.
hello_c/: A sample C project built with Makefile/CMake.hello_cc/: A sample C++ project built with Makefile/CMake.hello_bazel/: A sample C++ project built with Bazel.https_server/: A HTTPS file server based on Mongoose Embedded Web Server Library.tensorflow_lite/: A demo and benchmark of Tensorflow Lite inference engine.